recipe r-rldne

A Convenient R Interface For NeEstimator V2.1

Homepage:

https://github.com/zakrobinson/RLDNe

License:

GPL-2.0-only

Recipe:

/r-rldne/meta.yaml

An R-package that conveniently interfaces with NeEstimator 2.1 (Do et al. 2014). NeEstimator V2.1 executables are distributed with this package freely, for non-commericial, educational purposes only. Given that NeEstimator is quite straightfoward to run, a common use case for this package is when you want to simulate/downsample and run many iterations of the LD-method via R. This package allows the LD-Method in NeEstimator V2.1 to be easily executed via R.

package r-rldne

(downloads) docker_r-rldne

versions:

1.0.0-0

depends r-base:

>=4.5,<4.6.0a0

depends r-devtools:

depends r-dplyr:

depends r-efglmh:

depends r-readr:

depends r-remotes:

>=2.1.0

depends r-tibble:

depends r-tidyr:

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install r-rldne

and update with::

   mamba update r-rldne

To create a new environment, run:

mamba create --name myenvname r-rldne

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/r-rldne:<tag>

(see `r-rldne/tags`_ for valid values for ``<tag>``)

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Link to this page

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